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Intelligence-based medicine

Showing results (1-10 of 32) with videos related to

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Intelligence-Based Medicine|December 8, 2020
Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19Venkata Pavan Kumar Turlapati, Manas Ranjan Prusty
Intelligence-Based Medicine|March 24, 2025
Physician documentation matters. Using natural language processing to predict mortality in sepsisKeaton Cooley-Rieders, Kai Zheng
Intelligence-Based Medicine|November 9, 2020
Intelligence-based medicine: Medici Effect of the modern medical eraAnthony Chang
Intelligence-Based Medicine|June 28, 2021
A critical analysis of COVID-19 research literature: Text mining approachFerhat D Zengul, Ayse G Zengul, Michael J Mugavero, et al.
Intelligence-Based Medicine|January 15, 2024
Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based studySuvd Zulbayar, Tatyana Mollayeva, Angela Colantonio, et al.
Intelligence-Based Medicine|April 1, 2026
Diffusion models vs. DCGANs for class-imbalanced lung cancer CT classification: A comparative studyMasoud Tabibian, Tahereh Razmpour, Rajib Saha
Intelligence-Based Medicine|April 26, 2021
Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classificationAdeyinka P Adedigba, Steve A Adeshina, Oluwatomisin E Aina, et al.
Intelligence-Based Medicine|November 24, 2020
COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligenceFrancisco Dorr, Hernán Chaves, María Mercedes Serra, et al.
Intelligence-Based Medicine|November 10, 2020
Deep learning and its role in COVID-19 medical imagingSudhen B Desai, Anuj Pareek, Matthew P Lungren
Intelligence-Based Medicine|October 12, 2020
Zero-shot learning and its applications from autonomous vehicles to COVID-19 diagnosis: A reviewMahdi Rezaei, Mahsa Shahidi
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Intelligence-Based Medicine|December 8, 2020
Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19Venkata Pavan Kumar Turlapati, Manas Ranjan Prusty
Intelligence-Based Medicine|March 24, 2025
Physician documentation matters. Using natural language processing to predict mortality in sepsisKeaton Cooley-Rieders, Kai Zheng
Intelligence-Based Medicine|November 9, 2020
Intelligence-based medicine: Medici Effect of the modern medical eraAnthony Chang
Intelligence-Based Medicine|June 28, 2021
A critical analysis of COVID-19 research literature: Text mining approachFerhat D Zengul, Ayse G Zengul, Michael J Mugavero, et al.
Intelligence-Based Medicine|January 15, 2024
Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based studySuvd Zulbayar, Tatyana Mollayeva, Angela Colantonio, et al.
Intelligence-Based Medicine|April 1, 2026
Diffusion models vs. DCGANs for class-imbalanced lung cancer CT classification: A comparative studyMasoud Tabibian, Tahereh Razmpour, Rajib Saha
Intelligence-Based Medicine|April 26, 2021
Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classificationAdeyinka P Adedigba, Steve A Adeshina, Oluwatomisin E Aina, et al.
Intelligence-Based Medicine|November 24, 2020
COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligenceFrancisco Dorr, Hernán Chaves, María Mercedes Serra, et al.
Intelligence-Based Medicine|November 10, 2020
Deep learning and its role in COVID-19 medical imagingSudhen B Desai, Anuj Pareek, Matthew P Lungren
Intelligence-Based Medicine|October 12, 2020
Zero-shot learning and its applications from autonomous vehicles to COVID-19 diagnosis: A reviewMahdi Rezaei, Mahsa Shahidi
Pageof 4